Stabilization of a class of high-order switched stochastic nonlinear systems

2016 ◽  
Author(s):  
Ben Niu ◽  
Huan Li
Keyword(s):  
Nonlinear Systems ◽  
High Order ◽  
Stochastic Nonlinear Systems

scholarly journals The Adaptive Neural Control for a Class of High-Order Uncertain Stochastic Nonlinear Systems

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Xiaoyan Qin
Keyword(s):  
Nonlinear Systems ◽  
Neural Control ◽  
Closed Loop ◽  
Control Method ◽  
High Order ◽  
Stochastic Nonlinear Systems ◽  
Closed Loop System ◽  
Adaptive Neural Control ◽  
Control Scheme ◽  
Approximation Capability

This paper studies the problem of the adaptive neural control for a class of high-order uncertain stochastic nonlinear systems. By using some techniques such as the backstepping recursive technique, Young’s inequality, and approximation capability, a novel adaptive neural control scheme is constructed. The proposed control method can guarantee that the signals of the closed-loop system are bounded in probability, and only one parameter needs to be updated online. One example is given to show the effectiveness of the proposed control method.

Adaptive Neural Tracking Control for Switched High-Order Stochastic Nonlinear Systems

2017 ◽  
Vol 47 (10) ◽  
pp. 3088-3099 ◽  
Author(s):  
Xudong Zhao ◽  
Xinyong Wang ◽  
Guangdeng Zong ◽  
Xiaolong Zheng
Keyword(s):  
Nonlinear Systems ◽  
Tracking Control ◽  
High Order ◽  
Stochastic Nonlinear Systems
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